Literature DB >> 18761058

The influence of reactivity of the electrode-brain interface on the crossing electric current in therapeutic deep brain stimulation.

N Yousif1, R Bayford, X Liu.   

Abstract

The use of deep brain stimulation (DBS) as an effective clinical therapy for a number of neurological disorders has been greatly hindered by the lack of understanding of the mechanisms which underlie the observed clinical improvement in patients. This problem is confounded by the difficulty of investigating the neuronal effects of DBS in situ, and the impossibility of measuring the induced current in vivo. In our recent computational work using a quasi-static finite element (FEM) model we have quantitatively shown that the properties of the depth electrode-brain interface (EBI) have a significant effect on the electric field induced in the brain volume surrounding the DBS electrode. In the present work, we explore the influence of the reactivity of the EBI on the crossing electric current using the Fourier-FEM approach to allow the investigation of waveform attenuation in the time domain. Results showed that the EBI affected the waveform shaping differently at different post-implantation stages, and that this in turn had implications on induced current distribution across the EBI. Furthermore, we investigated whether hypothetical waveforms, which were shown to have potential usefulness for neural stimulation but are not yet applied clinically, would have any advantage over the currently used square pulse. In conclusion, the influence of reactivity of the EBI on the crossing stimulation current in therapeutic DBS is significant, and affects the predictive estimation of current distribution around the implanted DBS electrode in the human brain.

Entities:  

Mesh:

Year:  2008        PMID: 18761058      PMCID: PMC2730055          DOI: 10.1016/j.neuroscience.2008.07.051

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  28 in total

1.  No tissue damage by chronic deep brain stimulation in Parkinson's disease.

Authors:  C Haberler; F Alesch; P R Mazal; P Pilz; K Jellinger; M M Pinter; J A Hainfellner; H Budka
Journal:  Ann Neurol       Date:  2000-09       Impact factor: 10.422

2.  AN ANALYSIS OF ELECTRICAL PROPERTIES OF METAL ELECTRODES.

Authors:  J WEINMAN; J MAHLER
Journal:  Med Electron Biol Eng       Date:  1964-07

Review 3.  Selection of stimulus parameters for deep brain stimulation.

Authors:  Alexis M Kuncel; Warren M Grill
Journal:  Clin Neurophysiol       Date:  2004-11       Impact factor: 3.708

Review 4.  Electrical stimulation of excitable tissue: design of efficacious and safe protocols.

Authors:  Daniel R Merrill; Marom Bikson; John G R Jefferys
Journal:  J Neurosci Methods       Date:  2005-02-15       Impact factor: 2.390

Review 5.  Deep brain stimulation for neurologic and neuropsychiatric disorders.

Authors:  Thomas Wichmann; Mahlon R Delong
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

6.  Chronic subthalamic high-frequency deep brain stimulation in Parkinson's disease--a histopathological study.

Authors:  M S Nielsen; C R Bjarkam; J C Sørensen; M Bojsen-Møller; N Aa Sunde; K Østergaard
Journal:  Eur J Neurol       Date:  2007-02       Impact factor: 6.089

7.  Combined (thalamotomy and stimulation) stereotactic surgery of the VIM thalamic nucleus for bilateral Parkinson disease.

Authors:  A L Benabid; P Pollak; A Louveau; S Henry; J de Rougemont
Journal:  Appl Neurophysiol       Date:  1987

Review 8.  Deep brain stimulation for Parkinson's disease: disrupting the disruption.

Authors:  Andres M Lozano; Jonathan Dostrovsky; Robert Chen; Peter Ashby
Journal:  Lancet Neurol       Date:  2002-08       Impact factor: 44.182

Review 9.  Modeling the current distribution across the depth electrode-brain interface in deep brain stimulation.

Authors:  Nada Yousif; Xuguang Liu
Journal:  Expert Rev Med Devices       Date:  2007-09       Impact factor: 3.166

10.  The peri-electrode space is a significant element of the electrode-brain interface in deep brain stimulation: a computational study.

Authors:  Nada Yousif; Richard Bayford; Peter G Bain; Xuguang Liu
Journal:  Brain Res Bull       Date:  2007-07-26       Impact factor: 4.077

View more
  16 in total

1.  Neural origin of evoked potentials during thalamic deep brain stimulation.

Authors:  Alexander R Kent; Warren M Grill
Journal:  J Neurophysiol       Date:  2013-05-29       Impact factor: 2.714

2.  Multi-objective particle swarm optimization for postoperative deep brain stimulation targeting of subthalamic nucleus pathways.

Authors:  Edgar Peña; Simeng Zhang; Remi Patriat; Joshua E Aman; Jerrold L Vitek; Noam Harel; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-09-13       Impact factor: 5.379

3.  Measurement of evoked potentials during thalamic deep brain stimulation.

Authors:  Alexander R Kent; Brandon D Swan; David T Brocker; Dennis A Turner; Robert E Gross; Warren M Grill
Journal:  Brain Stimul       Date:  2014-10-05       Impact factor: 8.955

4.  Orientation selective deep brain stimulation.

Authors:  Lauri J Lehto; Julia P Slopsema; Matthew D Johnson; Artem Shatillo; Benjamin A Teplitzky; Lynn Utecht; Gregor Adriany; Silvia Mangia; Alejandra Sierra; Walter C Low; Olli Gröhn; Shalom Michaeli
Journal:  J Neural Eng       Date:  2017-01-09       Impact factor: 5.379

5.  Analysis of deep brain stimulation electrode characteristics for neural recording.

Authors:  Alexander R Kent; Warren M Grill
Journal:  J Neural Eng       Date:  2014-06-12       Impact factor: 5.379

6.  Clinical deep brain stimulation strategies for orientation-selective pathway activation.

Authors:  Julia P Slopsema; Edgar Peña; Remi Patriat; Lauri J Lehto; Olli Gröhn; Silvia Mangia; Noam Harel; Shalom Michaeli; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-08-10       Impact factor: 5.379

7.  Temperature control at DBS electrodes using a heat sink: experimentally validated FEM model of DBS lead architecture.

Authors:  Maged M Elwassif; Abhishek Datta; Asif Rahman; Marom Bikson
Journal:  J Neural Eng       Date:  2012-07-04       Impact factor: 5.379

8.  Patient-specific models of deep brain stimulation: influence of field model complexity on neural activation predictions.

Authors:  Ashutosh Chaturvedi; Christopher R Butson; Scott F Lempka; Scott E Cooper; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2010-04       Impact factor: 8.955

9.  Recording evoked potentials during deep brain stimulation: development and validation of instrumentation to suppress the stimulus artefact.

Authors:  A R Kent; W M Grill
Journal:  J Neural Eng       Date:  2012-04-18       Impact factor: 5.379

10.  Investigating the depth electrode-brain interface in deep brain stimulation using finite element models with graded complexity in structure and solution.

Authors:  Nada Yousif; Xuguang Liu
Journal:  J Neurosci Methods       Date:  2009-07-21       Impact factor: 2.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.